SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA

• US 20090192751A1
• Filed: 10/24/2008
• Published: 07/30/2009
• Est. Priority Date: 10/25/2007
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Dobbles, J. Michael, Kamath, Apurv Ullas, Mahalingam, Aarthi
• Granted Patent: US 8,417,312 B2
• Time in Patent Office: Days
• US Class Current: 702/104
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1477 non-invasive
• CPC Class Codes: A61B 5/14865 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/6833 Adhesive patches
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: G16H 40/40 for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

Claims

1. A method for calibrating an analyte sensor, the method comprising:

receiving sensor data from an analyte sensor, the sensor data comprising at least one sensor data point;

receiving reference data from a reference analyte monitor, the reference data comprising at least one reference analyte value;

matching at least one sensor data point with at least one reference analyte value to form a matched data pair;

converting sensor data into at least one estimated analyte value, utilizing the matched data pair; and

displaying the estimated analyte value within about 10 minutes of receiving the reference analyte value.

2. The method of claim 1, wherein the step of displaying the estimated analyte value is performed within about 5 minutes of receiving the reference analyte value.

3. The method of claim 1, wherein the step of displaying the estimated analyte value is performed within about 1 minute of receiving the reference analyte value.

4. A method for calibrating glucose sensor data from a continuous glucose sensor, the method comprising:

obtaining a reference glucose value; and

matching the reference glucose value with a sensor glucose value without compensating for a time lag between the reference glucose value and the sensor glucose value such that a time stamp for the reference glucose value is as close as possible to a time stamp of the sensor glucose value.

5. The method of claim 4, wherein the time stamp of the reference glucose value is within about 5 minutes of the time stamp of the sensor glucose value.

6. The method of claim 4, wherein the time lag between the reference glucose value and the sensor glucose value is determined, at least in part, by a filter applied to raw glucose sensor data measured by the continuous glucose sensor.

7. A method for calibrating glucose sensor data from a continuous glucose sensor, the method comprising:

immediately calibrating a continuous glucose sensor by matching a reference glucose value with a first sensor glucose value; and

,

subsequently calibrating the continuous glucose sensor by matching the reference glucose value with a second sensor glucose value.

8. The method of claim 7, wherein the first sensor glucose value and the second sensor glucose value are different.

9. The method of claim 7, wherein the step of immediately calibrating comprises matching the reference glucose value with the first sensor glucose value without compensating for a time lag.

10. The method of claim 7, wherein the step of subsequently calibrating comprises matching the reference glucose value with the second sensor glucose value, whereby a time lag is compensated for.

11. The method of claim 7, wherein the step of immediately calibrating further comprises determining a calibration state comprising one of an out-of-calibration state and an in-calibration state.

12. The method of claim 7, wherein the step of determining a calibration state further comprises displaying information indicative of the calibration state on a user interface.

13. The method of claim 7, further comprising displaying immediately calibrated sensor data after the step of immediately calibrating.

14. The method of claim 13, further comprising displaying subsequently calibrated sensor data after the step of subsequently calibrating.

15. A system for calibrating an analyte sensor, the system comprising:

a sensor data module configured to receive sensor data from an analyte sensor, the sensor data comprising at least one sensor data point;

a reference input module, configured to receive reference data from a reference analyte monitor, the reference data comprising at least one reference analyte value;

a processor module configured to match at least one sensor data point with at least one reference analyte value to form a matched data pair, wherein the processor module is further configured to convert sensor data into at least one estimated analyte value utilizing the matched data pair; and

an output module configured to display the estimated analyte value within about 10 minutes of receiving the reference analyte value.

16. A system for calibrating glucose sensor data from a continuous glucose sensor, the system comprising:

a processor module configured to obtain a reference glucose value and match the reference glucose value with a sensor glucose value without compensating for a time lag such that a time stamp of the reference glucose value is as close as possible to a time stamp of the sensor glucose value.

17. A system for calibrating glucose sensor data from a continuous glucose sensor, the system comprising:

a processor module configured to immediately calibrate a continuous glucose sensor by matching a reference glucose value with a first sensor glucose value and subsequently calibrating the continuous glucose sensor by matching the reference glucose value with a second sensor glucose value.